Pinned Repositories
abu
阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构
arrow
Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.
awesome-bigdata
A curated list of awesome big data frameworks, ressources and other awesomeness.
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.
awesome-jupyter
A curated list of awesome Jupyter projects, libraries and resources
awesome-jupyterlab
A curated list of awesome JupyterLab extensions and resources
awesome-kafka
A collection of kafka-resources
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
JiaweiCui's Repositories
JiaweiCui/abu
阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构
JiaweiCui/arrow
Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.
JiaweiCui/awesome-bigdata
A curated list of awesome big data frameworks, ressources and other awesomeness.
JiaweiCui/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.
JiaweiCui/awesome-jupyter
A curated list of awesome Jupyter projects, libraries and resources
JiaweiCui/awesome-kafka
A collection of kafka-resources
JiaweiCui/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
JiaweiCui/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
JiaweiCui/awesome-python-applications
💿 Free software that works great, and also happens to be open-source Python.
JiaweiCui/awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
JiaweiCui/Awesome-Quant-Machine-Learning-Trading
Quant/Algorithm trading resources with an emphasis on Machine Learning
JiaweiCui/awesome-selfhosted
This is a list of Free Software network services and web applications which can be hosted locally. Selfhosting is the process of locally hosting and managing applications instead of renting from SaaS providers.
JiaweiCui/awesome-spark
A curated list of awesome Apache Spark packages and resources.
JiaweiCui/awesome-trading-system
popular trading system collection.
JiaweiCui/dash-flask-login
Implementation of Flask-login on top of Dash.
JiaweiCui/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
JiaweiCui/EdgeRealtimeVideoAnalytics
An example of using Redis Streams, RedisGears, RedisAI and RedisTimeSeries for Realtime Video Analytics (i.e. counting people)
JiaweiCui/garage
A toolkit for reproducible reinforcement learning research.
JiaweiCui/gitignore
A collection of useful .gitignore templates
JiaweiCui/gym
A toolkit for developing and comparing reinforcement learning algorithms.
JiaweiCui/introRL
Intro to Reinforcement Learning (强化学习纲要）
JiaweiCui/Lean
Lean Algorithmic Trading Engine by QuantConnect (C#, Python)
JiaweiCui/locust-experiments
Series of experiments with load testing tool called Locust (locust.io)
JiaweiCui/ml-workspace
🛠 All-in-one web-based IDE specialized for machine learning and data science.
JiaweiCui/model-serving-tutorial
Code and presentation for Strata Model Serving tutorial
JiaweiCui/papers
JiaweiCui/prefect
The easiest way to automate your data
JiaweiCui/stock_pg
强化学习算法实现自动炒股
JiaweiCui/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
JiaweiCui/TradingGym
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.